{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"svm.ipynb","provenance":[],"collapsed_sections":[]},"language_info":{"name":"python"},"kernelspec":{"name":"python3","display_name":"Python 3"}},"cells":[{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"-XK3DbnvEnuk","executionInfo":{"status":"ok","timestamp":1618468454563,"user_tz":-480,"elapsed":3016,"user":{"displayName":"Mingyu Yang","photoUrl":"","userId":"04100620278597188865"}},"outputId":"5e8e1613-9927-4007-dd54-f2b98c805e33"},"source":["# This mounts your Google Drive to the Colab VM.\n","from google.colab import drive\n","drive.mount('/content/drive', force_remount=True)\n","\n","# Enter the foldername in your Drive where you have saved the unzipped\n","# assignment folder, e.g. 'cs231n/assignments/assignment1/'\n","FOLDERNAME = 'cs231n/assignments/assignment1/'\n","assert FOLDERNAME is not None, \"[!] Enter the foldername.\"\n","\n","# Now that we've mounted your Drive, this ensures that\n","# the Python interpreter of the Colab VM can load\n","# python files from within it.\n","import sys\n","sys.path.append('/content/drive/My Drive/{}'.format(FOLDERNAME))\n","\n","# This downloads the CIFAR-10 dataset to your Drive\n","# if it doesn't already exist.\n","%cd drive/My\\ Drive/$FOLDERNAME/cs231n/datasets/\n","!bash get_datasets.sh\n","%cd /content/drive/My\\ Drive/$FOLDERNAME"],"execution_count":5,"outputs":[{"output_type":"stream","text":["Mounted at /content/drive\n","/content/drive/My Drive/cs231n/assignments/assignment1/cs231n/datasets\n","/content/drive/My Drive/cs231n/assignments/assignment1\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"CFnjCioZKPj8","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1618467625784,"user_tz":-480,"elapsed":1319,"user":{"displayName":"Mingyu Yang","photoUrl":"","userId":"04100620278597188865"}},"outputId":"56b7626d-648d-43d6-e3c1-0787f1457aee"},"source":["from google.colab import drive\n","drive.mount('/content/drive')"],"execution_count":2,"outputs":[{"output_type":"stream","text":["Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"tags":["pdf-title"],"id":"hj60gBiaEnuq"},"source":["# Multiclass Support Vector Machine exercise\n","\n","*Complete and hand in this completed worksheet (including its outputs and any supporting code outside of the worksheet) with your assignment submission. For more details see the [assignments page](http://vision.stanford.edu/teaching/cs231n/assignments.html) on the course website.*\n","\n","In this exercise you will:\n","    \n","- implement a fully-vectorized **loss function** for the SVM\n","- implement the fully-vectorized expression for its **analytic gradient**\n","- **check your implementation** using numerical gradient\n","- use a validation set to **tune the learning rate and regularization** strength\n","- **optimize** the loss function with **SGD**\n","- **visualize** the final learned weights\n"]},{"cell_type":"code","metadata":{"tags":["pdf-ignore"],"id":"MUDAnV-YEnuq","executionInfo":{"status":"ok","timestamp":1618468462448,"user_tz":-480,"elapsed":3277,"user":{"displayName":"Mingyu Yang","photoUrl":"","userId":"04100620278597188865"}}},"source":["# Run some setup code for this notebook.\n","import random\n","import numpy as np\n","from cs231n.data_utils import load_CIFAR10\n","import matplotlib.pyplot as plt\n","\n","# This is a bit of magic to make matplotlib figures appear inline in the\n","# notebook rather than in a new window.\n","%matplotlib inline\n","plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\n","plt.rcParams['image.interpolation'] = 'nearest'\n","plt.rcParams['image.cmap'] = 'gray'\n","\n","# Some more magic so that the notebook will reload external python modules;\n","# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\n","%load_ext autoreload\n","%autoreload 2"],"execution_count":6,"outputs":[]},{"cell_type":"markdown","metadata":{"tags":["pdf-ignore"],"id":"oO-AWbNIEnur"},"source":["## CIFAR-10 Data Loading and Preprocessing"]},{"cell_type":"code","metadata":{"tags":["pdf-ignore"],"colab":{"base_uri":"https://localhost:8080/"},"id":"qQVVhrx7Enur","executionInfo":{"status":"ok","timestamp":1618468521936,"user_tz":-480,"elapsed":1958,"user":{"displayName":"Mingyu Yang","photoUrl":"","userId":"04100620278597188865"}},"outputId":"7b38b53b-d9fb-4c4e-8787-46ac7941d67d"},"source":["# Load the raw CIFAR-10 data.\n","cifar10_dir = 'cs231n/datasets/cifar-10-batches-py'\n","\n","# Cleaning up variables to prevent loading data multiple times (which may cause memory issue)\n","try:\n","   del X_train, y_train\n","   del X_test, y_test\n","   print('Clear previously loaded data.')\n","except:\n","   pass\n","\n","X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\n","\n","# As a sanity check, we print out the size of the training and test data.\n","print('Training data shape: ', X_train.shape)\n","print('Training labels shape: ', y_train.shape)\n","print('Test data shape: ', X_test.shape)\n","print('Test labels shape: ', y_test.shape)"],"execution_count":10,"outputs":[{"output_type":"stream","text":["Clear previously loaded data.\n","Training data shape:  (50000, 32, 32, 3)\n","Training labels shape:  (50000,)\n","Test data shape:  (10000, 32, 32, 3)\n","Test labels shape:  (10000,)\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"tags":["pdf-ignore"],"colab":{"base_uri":"https://localhost:8080/","height":476},"id":"OQWKnfl_Enur","executionInfo":{"status":"ok","timestamp":1618468529197,"user_tz":-480,"elapsed":4157,"user":{"displayName":"Mingyu Yang","photoUrl":"","userId":"04100620278597188865"}},"outputId":"a0a5b4a2-240f-48f5-e9ef-653d7e19815a"},"source":["# Visualize some examples from the dataset.\n","# We show a few examples of training images from each class.\n","classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n","num_classes = len(classes)\n","samples_per_class = 7\n","for y, cls in enumerate(classes):\n","    idxs = np.flatnonzero(y_train == y)\n","    idxs = np.random.choice(idxs, samples_per_class, replace=False)\n","    for i, idx in enumerate(idxs):\n","        plt_idx = i * num_classes + y + 1\n","        plt.subplot(samples_per_class, num_classes, plt_idx)\n","        plt.imshow(X_train[idx].astype('uint8'))\n","        plt.axis('off')\n","        if i == 0:\n","            plt.title(cls)\n","plt.show()"],"execution_count":11,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 720x576 with 70 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"tags":["pdf-ignore"],"colab":{"base_uri":"https://localhost:8080/"},"id":"m2kpEsNUEnus","executionInfo":{"status":"ok","timestamp":1618468533535,"user_tz":-480,"elapsed":1816,"user":{"displayName":"Mingyu Yang","photoUrl":"","userId":"04100620278597188865"}},"outputId":"fc1c9bac-b8e7-43b5-a240-d33d58aba0d4"},"source":["# Split the data into train, val, and test sets. In addition we will\n","# create a small development set as a subset of the training data;\n","# we can use this for development so our code runs faster.\n","num_training = 49000\n","num_validation = 1000\n","num_test = 1000\n","num_dev = 500\n","\n","# Our validation set will be num_validation points from the original\n","# training set.\n","mask = range(num_training, num_training + num_validation)\n","X_val = X_train[mask]\n","y_val = y_train[mask]\n","\n","# Our training set will be the first num_train points from the original\n","# training set.\n","mask = range(num_training)\n","X_train = X_train[mask]\n","y_train = y_train[mask]\n","\n","# We will also make a development set, which is a small subset of\n","# the training set.\n","mask = np.random.choice(num_training, num_dev, replace=False)\n","X_dev = X_train[mask]\n","y_dev = y_train[mask]\n","\n","# We use the first num_test points of the original test set as our\n","# test set.\n","mask = range(num_test)\n","X_test = X_test[mask]\n","y_test = y_test[mask]\n","\n","print('Train data shape: ', X_train.shape)\n","print('Train labels shape: ', y_train.shape)\n","print('Validation data shape: ', X_val.shape)\n","print('Validation labels shape: ', y_val.shape)\n","print('Test data shape: ', X_test.shape)\n","print('Test labels shape: ', y_test.shape)"],"execution_count":12,"outputs":[{"output_type":"stream","text":["Train data shape:  (49000, 32, 32, 3)\n","Train labels shape:  (49000,)\n","Validation data shape:  (1000, 32, 32, 3)\n","Validation labels shape:  (1000,)\n","Test data shape:  (1000, 32, 32, 3)\n","Test labels shape:  (1000,)\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"tags":["pdf-ignore"],"colab":{"base_uri":"https://localhost:8080/"},"id":"6F6bLgT6Enus","executionInfo":{"status":"ok","timestamp":1618468539471,"user_tz":-480,"elapsed":1377,"user":{"displayName":"Mingyu Yang","photoUrl":"","userId":"04100620278597188865"}},"outputId":"7a41f827-5dd8-46a3-c888-bb3a35783431"},"source":["# Preprocessing: reshape the image data into rows\n","X_train = np.reshape(X_train, (X_train.shape[0], -1))\n","X_val = np.reshape(X_val, (X_val.shape[0], -1))\n","X_test = np.reshape(X_test, (X_test.shape[0], -1))\n","X_dev = np.reshape(X_dev, (X_dev.shape[0], -1))\n","\n","# As a sanity check, print out the shapes of the data\n","print('Training data shape: ', X_train.shape)\n","print('Validation data shape: ', X_val.shape)\n","print('Test data shape: ', X_test.shape)\n","print('dev data shape: ', X_dev.shape)"],"execution_count":13,"outputs":[{"output_type":"stream","text":["Training data shape:  (49000, 3072)\n","Validation data shape:  (1000, 3072)\n","Test data shape:  (1000, 3072)\n","dev data shape:  (500, 3072)\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"tags":["pdf-ignore-input"],"colab":{"base_uri":"https://localhost:8080/","height":317},"id":"vq3Ainh1Enut","executionInfo":{"status":"ok","timestamp":1618468544757,"user_tz":-480,"elapsed":3687,"user":{"displayName":"Mingyu Yang","photoUrl":"","userId":"04100620278597188865"}},"outputId":"1c005e46-ede1-4a5a-fd60-4309a8f015fa"},"source":["# Preprocessing: subtract the mean image\n","# first: compute the image mean based on the training data\n","mean_image = np.mean(X_train, axis=0)\n","print(mean_image[:10]) # print a few of the elements\n","plt.figure(figsize=(4,4))\n","plt.imshow(mean_image.reshape((32,32,3)).astype('uint8')) # visualize the mean image\n","plt.show()\n","\n","# second: subtract the mean image from train and test data\n","X_train -= mean_image\n","X_val -= mean_image\n","X_test -= mean_image\n","X_dev -= mean_image\n","\n","# third: append the bias dimension of ones (i.e. bias trick) so that our SVM\n","# only has to worry about optimizing a single weight matrix W.\n","X_train = np.hstack([X_train, np.ones((X_train.shape[0], 1))])\n","X_val = np.hstack([X_val, np.ones((X_val.shape[0], 1))])\n","X_test = np.hstack([X_test, np.ones((X_test.shape[0], 1))])\n","X_dev = np.hstack([X_dev, np.ones((X_dev.shape[0], 1))])\n","\n","print(X_train.shape, X_val.shape, X_test.shape, X_dev.shape)"],"execution_count":14,"outputs":[{"output_type":"stream","text":["[130.64189796 135.98173469 132.47391837 130.05569388 135.34804082\n"," 131.75402041 130.96055102 136.14328571 132.47636735 131.48467347]\n"],"name":"stdout"},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 288x288 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}},{"output_type":"stream","text":["(49000, 3073) (1000, 3073) (1000, 3073) (500, 3073)\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"fiSqoZ1FEnut"},"source":["## SVM Classifier\n","\n","Your code for this section will all be written inside `cs231n/classifiers/linear_svm.py`. \n","\n","As you can see, we have prefilled the function `svm_loss_naive` which uses for loops to evaluate the multiclass SVM loss function. "]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Lqzb-YQQEnut","executionInfo":{"status":"ok","timestamp":1618468549311,"user_tz":-480,"elapsed":1725,"user":{"displayName":"Mingyu Yang","photoUrl":"","userId":"04100620278597188865"}},"outputId":"0f2ca5c9-f112-4b93-bd99-a8d24c630562"},"source":["# Evaluate the naive implementation of the loss we provided for you:\n","from cs231n.classifiers.linear_svm import svm_loss_naive\n","import time\n","\n","# generate a random SVM weight matrix of small numbers\n","W = np.random.randn(3073, 10) * 0.0001 \n","\n","loss, grad = svm_loss_naive(W, X_dev, y_dev, 0.000005)\n","print('loss: %f' % (loss, ))"],"execution_count":15,"outputs":[{"output_type":"stream","text":["loss: 8.920291\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"vcz_VTduEnut"},"source":["The `grad` returned from the function above is right now all zero. Derive and implement the gradient for the SVM cost function and implement it inline inside the function `svm_loss_naive`. You will find it helpful to interleave your new code inside the existing function.\n","\n","To check that you have correctly implemented the gradient correctly, you can numerically estimate the gradient of the loss function and compare the numeric estimate to the gradient that you computed. We have provided code that does this for you:"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"tWRzf2ZSEnuu","executionInfo":{"status":"ok","timestamp":1618468559910,"user_tz":-480,"elapsed":7578,"user":{"displayName":"Mingyu Yang","photoUrl":"","userId":"04100620278597188865"}},"outputId":"fd6915f3-23a6-4472-932e-1bb9a0770952"},"source":["# Once you've implemented the gradient, recompute it with the code below\n","# and gradient check it with the function we provided for you\n","\n","# Compute the loss and its gradient at W.\n","loss, grad = svm_loss_naive(W, X_dev, y_dev, 0.0)\n","\n","# Numerically compute the gradient along several randomly chosen dimensions, and\n","# compare them with your analytically computed gradient. The numbers should match\n","# almost exactly along all dimensions.\n","from cs231n.gradient_check import grad_check_sparse\n","f = lambda w: svm_loss_naive(w, X_dev, y_dev, 0.0)[0]\n","grad_numerical = grad_check_sparse(f, W, grad)\n","\n","# do the gradient check once again with regularization turned on\n","# you didn't forget the regularization gradient did you?\n","loss, grad = svm_loss_naive(W, X_dev, y_dev, 5e1)\n","f = lambda w: svm_loss_naive(w, X_dev, y_dev, 5e1)[0]\n","grad_numerical = grad_check_sparse(f, W, grad)"],"execution_count":16,"outputs":[{"output_type":"stream","text":["numerical: 30.273347 analytic: 30.273347, relative error: 1.215235e-11\n","numerical: -0.450090 analytic: -0.450090, relative error: 2.913729e-10\n","numerical: -9.993066 analytic: -9.993066, relative error: 2.409531e-11\n","numerical: 0.808618 analytic: 0.808618, relative error: 8.975779e-11\n","numerical: 2.000718 analytic: 2.000718, relative error: 8.788666e-11\n","numerical: 13.927208 analytic: 13.927208, relative error: 1.842565e-11\n","numerical: -24.797892 analytic: -24.797892, relative error: 7.593711e-12\n","numerical: -4.605636 analytic: -4.605636, relative error: 7.241801e-11\n","numerical: 11.915148 analytic: 11.915148, relative error: 1.073464e-11\n","numerical: 0.973562 analytic: 0.973562, relative error: 1.393654e-10\n","numerical: 2.737562 analytic: 2.737562, relative error: 1.474586e-12\n","numerical: 14.370877 analytic: 14.370877, relative error: 2.244847e-12\n","numerical: 19.091184 analytic: 19.091184, relative error: 5.184519e-12\n","numerical: 10.747960 analytic: 10.747960, relative error: 6.481215e-13\n","numerical: -3.676301 analytic: -3.676301, relative error: 1.117175e-10\n","numerical: 20.369001 analytic: 20.369001, relative error: 4.589975e-12\n","numerical: -6.947908 analytic: -6.947908, relative error: 5.211054e-11\n","numerical: -10.907960 analytic: -10.907960, relative error: 2.459420e-11\n","numerical: -0.655518 analytic: -0.655518, relative error: 2.740439e-10\n","numerical: 6.836870 analytic: 6.836870, relative error: 7.770702e-12\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"tags":["pdf-inline"],"id":"I8SbcZeuEnuu"},"source":["**Inline Question 1**\n","\n","It is possible that once in a while a dimension in the gradcheck will not match exactly. What could such a discrepancy be caused by? Is it a reason for concern? What is a simple example in one dimension where a gradient check could fail? How would change the margin affect of the frequency of this happening? *Hint: the SVM loss function is not strictly speaking differentiable*\n","\n","$\\color{blue}{\\textit Your Answer:}$ *fill this in.*  \n"]},{"cell_type":"code","metadata":{"id":"vectorized_time_1","scrolled":true,"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1618468566701,"user_tz":-480,"elapsed":1246,"user":{"displayName":"Mingyu Yang","photoUrl":"","userId":"04100620278597188865"}},"outputId":"9fa35a08-5a02-42c1-a78e-affd8158fdf2"},"source":["# Next implement the function svm_loss_vectorized; for now only compute the loss;\n","# we will implement the gradient in a moment.\n","tic = time.time()\n","loss_naive, grad_naive = svm_loss_naive(W, X_dev, y_dev, 0.000005)\n","toc = time.time()\n","print('Naive loss: %e computed in %fs' % (loss_naive, toc - tic))\n","\n","from cs231n.classifiers.linear_svm import svm_loss_vectorized\n","tic = time.time()\n","loss_vectorized, _ = svm_loss_vectorized(W, X_dev, y_dev, 0.000005)\n","toc = time.time()\n","print('Vectorized loss: %e computed in %fs' % (loss_vectorized, toc - tic))\n","\n","# The losses should match but your vectorized implementation should be much faster.\n","print('difference: %f' % (loss_naive - loss_vectorized))"],"execution_count":17,"outputs":[{"output_type":"stream","text":["Naive loss: 8.920291e+00 computed in 0.119470s\n","Vectorized loss: 8.920291e+00 computed in 0.017046s\n","difference: 0.000000\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"vectorized_time_2","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1618468574135,"user_tz":-480,"elapsed":1651,"user":{"displayName":"Mingyu Yang","photoUrl":"","userId":"04100620278597188865"}},"outputId":"3d45f426-3b1f-414f-9d12-47ca7c75a93b"},"source":["# Complete the implementation of svm_loss_vectorized, and compute the gradient\n","# of the loss function in a vectorized way.\n","\n","# The naive implementation and the vectorized implementation should match, but\n","# the vectorized version should still be much faster.\n","tic = time.time()\n","_, grad_naive = svm_loss_naive(W, X_dev, y_dev, 0.000005)\n","toc = time.time()\n","print('Naive loss and gradient: computed in %fs' % (toc - tic))\n","\n","tic = time.time()\n","_, grad_vectorized = svm_loss_vectorized(W, X_dev, y_dev, 0.000005)\n","toc = time.time()\n","print('Vectorized loss and gradient: computed in %fs' % (toc - tic))\n","\n","# The loss is a single number, so it is easy to compare the values computed\n","# by the two implementations. The gradient on the other hand is a matrix, so\n","# we use the Frobenius norm to compare them.\n","difference = np.linalg.norm(grad_naive - grad_vectorized, ord='fro')\n","print('difference: %f' % difference)"],"execution_count":18,"outputs":[{"output_type":"stream","text":["Naive loss and gradient: computed in 0.119694s\n","Vectorized loss and gradient: computed in 0.013742s\n","difference: 0.000000\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"poN1D8Z9Enuv"},"source":["### Stochastic Gradient Descent\n","\n","We now have vectorized and efficient expressions for the loss, the gradient and our gradient matches the numerical gradient. We are therefore ready to do SGD to minimize the loss. Your code for this part will be written inside `cs231n/classifiers/linear_classifier.py`."]},{"cell_type":"code","metadata":{"id":"sgd","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1618472509586,"user_tz":-480,"elapsed":11236,"user":{"displayName":"Mingyu Yang","photoUrl":"","userId":"04100620278597188865"}},"outputId":"1e93ce85-bb8c-4c5c-e136-07e752caad79"},"source":["# In the file linear_classifier.py, implement SGD in the function\n","# LinearClassifier.train() and then run it with the code below.\n","from cs231n.classifiers import LinearSVM\n","svm = LinearSVM()\n","tic = time.time()\n","loss_hist = svm.train(X_train, y_train, learning_rate=1e-7, reg=2.5e4,\n","                      num_iters=1500, verbose=True)\n","toc = time.time()\n","print('That took %fs' % (toc - tic))"],"execution_count":52,"outputs":[{"output_type":"stream","text":["iteration 0 / 1500: loss 792.691872\n","iteration 100 / 1500: loss 288.510904\n","iteration 200 / 1500: loss 108.780806\n","iteration 300 / 1500: loss 42.888797\n","iteration 400 / 1500: loss 18.937625\n","iteration 500 / 1500: loss 10.732393\n","iteration 600 / 1500: loss 7.046806\n","iteration 700 / 1500: loss 6.028964\n","iteration 800 / 1500: loss 5.896109\n","iteration 900 / 1500: loss 5.985614\n","iteration 1000 / 1500: loss 5.520225\n","iteration 1100 / 1500: loss 4.911079\n","iteration 1200 / 1500: loss 5.715659\n","iteration 1300 / 1500: loss 5.179967\n","iteration 1400 / 1500: loss 5.642563\n","That took 10.411089s\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"i_w04TQYEnuv","colab":{"base_uri":"https://localhost:8080/","height":497},"executionInfo":{"status":"ok","timestamp":1618472511835,"user_tz":-480,"elapsed":1071,"user":{"displayName":"Mingyu Yang","photoUrl":"","userId":"04100620278597188865"}},"outputId":"70344399-f150-4d49-e9ff-e36216ea982b"},"source":["# A useful debugging strategy is to plot the loss as a function of\n","# iteration number:\n","plt.plot(loss_hist)\n","plt.xlabel('Iteration number')\n","plt.ylabel('Loss value')\n","plt.show()"],"execution_count":53,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 720x576 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"validate","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1618472515184,"user_tz":-480,"elapsed":1329,"user":{"displayName":"Mingyu Yang","photoUrl":"","userId":"04100620278597188865"}},"outputId":"a6e33cc8-92df-4579-eb33-f771937ad041"},"source":["# Write the LinearSVM.predict function and evaluate the performance on both the\n","# training and validation set\n","y_train_pred = svm.predict(X_train)\n","print('training accuracy: %f' % (np.mean(y_train == y_train_pred), ))\n","y_val_pred = svm.predict(X_val)\n","print('validation accuracy: %f' % (np.mean(y_val == y_val_pred), ))"],"execution_count":54,"outputs":[{"output_type":"stream","text":["training accuracy: 0.369020\n","validation accuracy: 0.384000\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"tuning","tags":["code"],"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1618473496012,"user_tz":-480,"elapsed":42854,"user":{"displayName":"Mingyu Yang","photoUrl":"","userId":"04100620278597188865"}},"outputId":"c8b6caa6-9b6f-4930-e222-7e842c3503ca"},"source":["# Use the validation set to tune hyperparameters (regularization strength and\n","# learning rate). You should experiment with different ranges for the learning\n","# rates and regularization strengths; if you are careful you should be able to\n","# get a classification accuracy of about 0.39 on the validation set.\n","\n","# Note: you may see runtime/overflow warnings during hyper-parameter search. \n","# This may be caused by extreme values, and is not a bug.\n","\n","# results is dictionary mapping tuples of the form\n","# (learning_rate, regularization_strength) to tuples of the form\n","# (training_accuracy, validation_accuracy). The accuracy is simply the fraction\n","# of data points that are correctly classified.\n","results = {}\n","best_val = -1   # The highest validation accuracy that we have seen so far.\n","best_svm = None # The LinearSVM object that achieved the highest validation rate.\n","\n","################################################################################\n","# TODO:                                                                        #\n","# Write code that chooses the best hyperparameters by tuning on the validation #\n","# set. For each combination of hyperparameters, train a linear SVM on the      #\n","# training set, compute its accuracy on the training and validation sets, and  #\n","# store these numbers in the results dictionary. In addition, store the best   #\n","# validation accuracy in best_val and the LinearSVM object that achieves this  #\n","# accuracy in best_svm.                                                        #\n","#                                                                              #\n","# Hint: You should use a small value for num_iters as you develop your         #\n","# validation code so that the SVMs don't take much time to train; once you are #\n","# confident that your validation code works, you should rerun the validation   #\n","# code with a larger value for num_iters.                                      #\n","################################################################################\n","\n","# Provided as a reference. You may or may not want to change these hyperparameters\n","learning_rates = [1e-7, 1e-6]\n","regularization_strengths = [2.5e4, 5e4]\n","\n","# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n","\n","for rate in learning_rates:\n","    for strength in regularization_strengths:\n","          svm = LinearSVM()\n","          loss = svm.train(X_train, y_train, learning_rate=rate, reg=strength,\n","                      num_iters=1500, verbose=False)\n","          y_train_pred = svm.predict(X_train)\n","          training_accuracy = np.mean(y_train == y_train_pred)\n","          y_val_pred = svm.predict(X_val)\n","          validation_accuracy = np.mean(y_val == y_val_pred)\n","          if validation_accuracy > best_val:\n","              best_val = validation_accuracy\n","              best_svm = svm\n","          results[(rate, strength)] = (training_accuracy, validation_accuracy)\n","\n","# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n","    \n","# Print out results.\n","for lr, reg in sorted(results):\n","    train_accuracy, val_accuracy = results[(lr, reg)]\n","    print('lr %e reg %e train accuracy: %f val accuracy: %f' % (\n","                lr, reg, train_accuracy, val_accuracy))\n","    \n","print('best validation accuracy achieved during cross-validation: %f' % best_val)"],"execution_count":68,"outputs":[{"output_type":"stream","text":["lr 1.000000e-07 reg 2.500000e+04 train accuracy: 0.374000 val accuracy: 0.391000\n","lr 1.000000e-07 reg 5.000000e+04 train accuracy: 0.360714 val accuracy: 0.369000\n","lr 1.000000e-06 reg 2.500000e+04 train accuracy: 0.282735 val accuracy: 0.268000\n","lr 1.000000e-06 reg 5.000000e+04 train accuracy: 0.240143 val accuracy: 0.251000\n","best validation accuracy achieved during cross-validation: 0.391000\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"tags":["pdf-ignore-input"],"id":"C63rbdDSEnuw","colab":{"base_uri":"https://localhost:8080/","height":590},"executionInfo":{"status":"ok","timestamp":1618473580656,"user_tz":-480,"elapsed":2389,"user":{"displayName":"Mingyu Yang","photoUrl":"","userId":"04100620278597188865"}},"outputId":"4e5f17fb-172d-4057-bf6b-8ece4474d22a"},"source":["# Visualize the cross-validation results\n","import math\n","import pdb\n","\n","# pdb.set_trace()\n","\n","x_scatter = [math.log10(x[0]) for x in results]\n","y_scatter = [math.log10(x[1]) for x in results]\n","\n","# plot training accuracy\n","marker_size = 100\n","colors = [results[x][0] for x in results]\n","plt.subplot(2, 1, 1)\n","plt.tight_layout(pad=3)\n","plt.scatter(x_scatter, y_scatter, marker_size, c=colors, cmap=plt.cm.coolwarm)\n","plt.colorbar()\n","plt.xlabel('log learning rate')\n","plt.ylabel('log regularization strength')\n","plt.title('CIFAR-10 training accuracy')\n","\n","# plot validation accuracy\n","colors = [results[x][1] for x in results] # default size of markers is 20\n","plt.subplot(2, 1, 2)\n","plt.scatter(x_scatter, y_scatter, marker_size, c=colors, cmap=plt.cm.coolwarm)\n","plt.colorbar()\n","plt.xlabel('log learning rate')\n","plt.ylabel('log regularization strength')\n","plt.title('CIFAR-10 validation accuracy')\n","plt.show()"],"execution_count":69,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 720x576 with 4 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"test","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1618473609203,"user_tz":-480,"elapsed":1434,"user":{"displayName":"Mingyu Yang","photoUrl":"","userId":"04100620278597188865"}},"outputId":"fc6ce3a9-fd0b-4f0c-914a-caac1e1e01e6"},"source":["# Evaluate the best svm on test set\n","y_test_pred = best_svm.predict(X_test)\n","test_accuracy = np.mean(y_test == y_test_pred)\n","print('linear SVM on raw pixels final test set accuracy: %f' % test_accuracy)"],"execution_count":70,"outputs":[{"output_type":"stream","text":["linear SVM on raw pixels final test set accuracy: 0.365000\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"tags":["pdf-ignore-input"],"id":"Bk90e8SXEnuw","colab":{"base_uri":"https://localhost:8080/","height":380},"executionInfo":{"status":"ok","timestamp":1618473621003,"user_tz":-480,"elapsed":2132,"user":{"displayName":"Mingyu Yang","photoUrl":"","userId":"04100620278597188865"}},"outputId":"834fe593-6a02-4778-f1f1-7c44508ea4bd"},"source":["# Visualize the learned weights for each class.\n","# Depending on your choice of learning rate and regularization strength, these may\n","# or may not be nice to look at.\n","w = best_svm.W[:-1,:] # strip out the bias\n","w = w.reshape(32, 32, 3, 10)\n","w_min, w_max = np.min(w), np.max(w)\n","classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n","for i in range(10):\n","    plt.subplot(2, 5, i + 1)\n","      \n","    # Rescale the weights to be between 0 and 255\n","    wimg = 255.0 * (w[:, :, :, i].squeeze() - w_min) / (w_max - w_min)\n","    plt.imshow(wimg.astype('uint8'))\n","    plt.axis('off')\n","    plt.title(classes[i])"],"execution_count":71,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 720x576 with 10 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"tags":["pdf-inline"],"id":"QjCIbcflEnuw"},"source":["**Inline question 2**\n","\n","Describe what your visualized SVM weights look like, and offer a brief explanation for why they look they way that they do.\n","\n","$\\color{blue}{\\textit Your Answer:}$ *fill this in*  \n"]}]}